DocumentCode :
3522538
Title :
Carrying Capacity Assessment of Tianjin Binhai New District by Artificial Neural Network
Author :
Li Mingchang ; Si Qi ; Liang Shuxiu ; Sun Zhaochen
Author_Institution :
Lab. of Environ. Protection in Water Transp. Eng., Tianjin Res. Inst. of Water Transp. Eng., Tianjin, China
fYear :
2011
fDate :
28-29 May 2011
Firstpage :
1
Lastpage :
3
Abstract :
With the development of coastal region in Tianjin Binhai new district, environmental pollution, exhaustion of resources and ecological hazards are aggravated continuously. So for efficient utilization of resources and realization of sustainable development, study on the carrying capacity assessment of coastal region is the key means for guiding the management. This paper presents a Data-Driven Model (DDM) to establish carrying capacity of coastal region assessment model solved by artificial neural network. (ANN). The evaluation results work well in Tianjin Binhai new district.
Keywords :
ecology; neural nets; pollution; sustainable development; Tianjin Binhai; artificial neural network; carrying capacity assessment; coastal region assessment model; data driven model; ecological hazard; environmental pollution; sustainable development; Artificial neural networks; Biological system modeling; Economic indicators; Mathematical model; Neurons; Numerical models; Sea measurements;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems and Applications (ISA), 2011 3rd International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-9855-0
Electronic_ISBN :
978-1-4244-9857-4
Type :
conf
DOI :
10.1109/ISA.2011.5873460
Filename :
5873460
Link To Document :
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